Determination of small molecular peptides in infant formula milk powder by gravimetric method combined with amino acid analysis
Bibliographic record
Abstract
Objective: Combined with the determination of macromolecular protein, amino acid and total protein, a quantitative analysis method for the content of small molecular peptides in infant formula milk powder was established. Methods: The contents of total protein, polymer protein and free amino acid in infant formula milk powder were determined by Kjeldahl nitrogen determination method, gravimetric method and ion exchange chromatography, and then the contents of small molecular protein peptide were calculated. Results: The precision RSD of the macromolecular protein detection (n=6) was 0.74%; The recovery rates of the 17 kinds of amino acids were 91.0%~103.2%, and the relative deviations of the detection results were 0.6%~ 2.5%. The recovery rates of small molecular weight peptides were 95.2%~98.2%. Conclusion: The established method has been validated by methodology, with good precision and recovery rate, and can be used for the determination of small molecular peptides in infant formula milk powder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".